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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 11928632 B1

PDFFull Text
Date of Patent:
Mar. 12, 2024

Filed:

Dec. 18, 2020

Ocular system for deception detection

Applicant:

Senseye, Inc., Austin, TX (US);

Inventors:

David Zakariaie, Austin, TX (US);

Jared Bowden, Austin, TX (US);

Patricia Herrmann, Austin, TX (US);

Seth Weisberg, Austin, TX (US);

Andrew R. Sommerlot, Austin, TX (US);

Taumer Anabtawi, Austin, TX (US);

Joseph Brown, Austin, TX (US);

Alexander Rowe, Austin, TX (US);

Assignee:

Senseye, Inc., Austin, TX (US);

Attorney:

Orbit IP

Primary Examiner:

Eric F Winakur

Assistant Examiner:

Elina Sohyun Ahn

Int. Cl.
CPC ...
G06N 3/045 (2023.01); A61B 3/00 (2006.01); A61B 3/11 (2006.01); A61B 3/113 (2006.01); A61B 3/14 (2006.01); A61B 5/00 (2006.01); A61B 5/11 (2006.01); A61B 5/16 (2006.01); G06N 3/08 (2023.01); G06N 3/088 (2023.01); G06Q 10/0635 (2023.01); G06Q 10/0639 (2023.01); G06Q 10/10 (2023.01); G06T 7/73 (2017.01); G06V 10/143 (2022.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 20/40 (2022.01); G06V 40/18 (2022.01); G06V 40/19 (2022.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01);
U.S. Cl.
CPC ...
G06Q 10/0635 (2013.01); A61B 3/0025 (2013.01); A61B 3/0041 (2013.01); A61B 3/0091 (2013.01); A61B 3/112 (2013.01); A61B 3/113 (2013.01); A61B 3/145 (2013.01); A61B 5/1103 (2013.01); A61B 5/161 (2013.01); A61B 5/163 (2017.08); A61B 5/165 (2013.01); A61B 5/4845 (2013.01); A61B 5/4863 (2013.01); A61B 5/6898 (2013.01); A61B 5/7246 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06Q 10/06398 (2013.01); G06Q 10/10 (2013.01); G06T 7/73 (2017.01); G06V 10/143 (2022.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 20/46 (2022.01); G06V 40/18 (2022.01); G06V 40/19 (2022.01); G06V 40/193 (2022.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); A61B 5/7267 (2013.01); A61B 2503/20 (2013.01); G06N 3/088 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30041 (2013.01); G16H 50/30 (2018.01);
Abstract

A method of deception detection based upon ocular information of a subject provides a video camera configured to record a close-up view of a subject's eye. A cognitive state model is configured to determine a high to a low cognitive load experienced by the subject. An emotional state model is configured to determine a high to a low state of arousal experienced by the subject. After asking a question, the ocular information is processed to identify changes in ocular signals of the subject. The cognitive state and emotional state models are evaluated based solely on the changes in ocular signals where a probability of the subject being either truthful or deceptive is estimated for a binary output.

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